TDWI Speaker: David Stodder, TDWI Research Director for Business Intelligence

Date: Tuesday, July 15, 2014

Time: 9:00 a.m. PT, 12:00 p.m. ET

Webinar Abstract

Self-reliant and less dependent on IT, business executives and departmental/LOB managers and users are deploying the latest tools, services, and applications for business intelligence, analytics, and data discovery. Although IT is hardly disappearing from the picture, IT needs to adjust how it manages access to data sources and governs BI and analytics. Enterprise BI/DW systems also need to accommodate how users customize their BI and analytics as they see fit based on their roles. As BI and analytics tools become easier to use and more flexible, the trend toward business users directing their own BI and analytics experiences will accelerate.

Join this TDWI Webinar and find out how peer organizations are adjusting business-IT relationships, addressing governance concerns, and using the latest technologies to enable nontechnical business users to shape their experiences with BI and analytics so they can realize more value from information. The Webinar will look at the functionality of self-service BI and analytics tools, prebuilt components, appliances, and cloud options for meeting the requirements of nontechnical business users. It will discuss how business units such as marketing departments are taking the initiative to do their own data science and big data analytics, and how this trend is requiring a new definition of business-IT collaboration.

This Webinar is based on TDWI’s recently released Best Practices Report, Business-Driven Business Intelligence and Analytics. The report delivered insights from an extensive research survey and interviews with users and industry experts. The Webinar will help you develop the right strategy for business-driven BI and analytics, including rebalancing the business-IT relationship and selecting the appropriate technologies for nontechnical user satisfaction.

You will learn:

Key drivers behind the trend toward business-driven BI and analytics

What functionality is most important in self service, easy-to-use BI, analytics, and data discovery tools for nontechnical users

How to develop a strategy for technology choices about prebuilt components, analytic appliances, and cloud options

Recommendations for addressing data governance, security, quality, and related concerns as business users take more control of their BI and analytics

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IBM. A TDWI PartnerIBM’s enterprise class big data platform allows users to address the full spectrum of big data business challenges and gain a competitive edge by enabling access and analysis of all data. Designed to complement your existing information infrastructure, IBM’s big data platform lets you get started quickly today and easily expand to address more complex problems tomorrow.

SAS. A TDWI PartnerBig data is now a reality: This phenomenal growth of data requires that you not only understand big data to decipher the information that counts, but also – more importantly – the possibilities of what you can do with it using big data analytics.

Teradata. A TDWI PartnerTeradata is a global leader in analytic data platforms, marketing and analytic applications, and consulting services. Teradata helps organizations collect, integrate, and analyze all of their data so they can know more about their customers and business and do more of what’s really important. With 10,000+ professionals in 77 countries, Teradata serves more than 2,500 customers, including the top companies across all major industries: consumer goods, financial services, healthcare, automotive, communications, travel, hospitality, and more. An ethical and future-focused company, Teradata is recognized by the business media and industry analysts for technological excellence, sustainability, and business value.

Treasure Data. A TDWI PartnerThe Treasure Data Service is a fully-managed, cloud-based subscription service, purpose-built for big data management and analytics. The service supports most data types, including multi-structured big data such as web logs, application logs, event, mobile and sensor data. Use our fast bulk loader or unique data acquisition technology to stream data from your servers into the Treasure Data Service in near-real-time. Data is stored in a secure, scalable cloud storage environment. To analyze, use SQL syntax within a simple, browser-based console or connect your favorite BI tool. Store everything in the cloud, or export data anytime for free.

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